Gaussian mixture models for training Bayesian convolutional neural networks.
Bakhouya MostafaHassan RamchounHadda MohammedTawfik MasrourPublished in: Evol. Intell. (2024)
Keyphrases
- gaussian mixture model
- convolutional neural networks
- maximum likelihood
- mixture model
- speaker recognition
- em algorithm
- feature vectors
- expectation maximization
- probability density function
- convolutional network
- probability density
- posterior probability
- gaussian distribution
- gaussian mixture
- speaker identification
- bayesian networks
- variational bayes
- generative model
- density estimation
- language model
- information retrieval
- active learning
- covariance matrices
- feature space
- bayesian information criterion
- learning algorithm